models/street at master · tensorflow/models · GitHub
README.md StreetView Tensorflow Recurrent End-to-End Transcription (STREET) Model. A TensorFlow implementation of the STREET model described in the paper: "End-to-End Interpretation of the French Street Name Signs Dataset" Raymond Smith, Chunhui Gu, Dar-Shyang Lee, Huiyi Hu, Ranjith Unnikrishnan, Julian Ibarz, Sacha Arnoud, Sophia Lin. International Workshop on Robust Reading, Amsterdam, 9 October
Unclear documentation on dynamic_rnn vs rnn for efficient dynamic sequence length computation · Issue #3801 · tensorflow/tensorflow
It looks like from the latest documentation that rnn performs early stopping for dynamic length sequences whereas dynamic_rnn does not? This would seem to be the reverse of the intuition. So it looks like in commit 855d3b5, the definition of dynamic_rnn was changed from: The parameter sequence_length is required and dynamic calculation is automatically performed. to: The parameter sequence_length
tensorflow/tensorflow/tools/tfprof at master · tensorflow/tensorflow · GitHub
README.md tfprof: TensorFlow Profiler and Beyond Features Profile model architectures parameters, tensor shapes, float operations, device placement, etc. Profile model performance execution time, memory consumption Profile multiple steps. Auto detect and advise. (Experimental) Interfaces Python API Command Line Visualization C++ API (Not public, contact us if needed.) Views and Options tfprof prov
models/object_detection at master · tensorflow/models · GitHub
README.md Tensorflow Object Detection API Creating accurate machine learning models capable of localizing and identifying multiple objects in a single image remains a core challenge in computer vision. The TensorFlow Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. At Google we’ve certainly found
models/mobilenet_v1.md at master · tensorflow/models · GitHub
MobileNet_v1 MobileNets are small, low-latency, low-power models parameterized to meet the resource constraints of a variety of use cases. They can be built upon for classification, detection, embeddings and segmentation similar to how other popular large scale models, such as Inception, are used. MobileNets can be run efficiently on mobile devices with TensorFlow Mobile . MobileNets trade off bet
Crash: Could not create cuDNN handle when convnets are used · Issue #6698 · tensorflow/tensorflow
The problem persists on any combination of CUDA toolkit 7.5/8.0 and Tensorflow installed from pip/source. Test sessions that do not use CNNs are run successfully. What related GitHub issues or StackOverflow threads have you found by searching the web for your problem? The issue is similar to #6586, where I first commented. But since I experience the problem on a Mac, I was suggested to open a sepa
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tensorflow/tensorflow/examples/how_tos/reading_data/convert_to_records.py at r1.2 · tensorflow/tensorflow
tensorflow/tensorflow/examples/how_tos/reading_data/fully_connected_reader.py at r1.2 · tensorflow/tensorflow
Pretrained model for img2txt? · Issue #466 · tensorflow/models
Feature Request: Support for YARN cluster manager for Distributed TensorFlow · Issue #2655 · tensorflow/tensorflow
TFRecord Writer Bug Saving Float List · Issue #9554 · tensorflow/tensorflow
Add 'dynamic_pad' flag to `shuffle_batch` as implemented in `batch` · Issue #5147 · tensorflow/tensorflow
astorfi/TensorFlow-World: Simple and ready-to-use tutorials for TensorFlow
GitHub - tensorflow/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tensorflow/RELEASE.md at r1.2 · tensorflow/tensorflow
tensorflow/tensorflow/docs_src/api_guides/python/contrib.seq2seq.md at 21c774cc1fc2aec8fd469c4f622fe7478b761e51 · tensorflow/tensorflow
tensorflow/tensorflow/python/ops/clip_ops.py at r1.1 · tensorflow/tensorflow
GitHub - yjmade/ios_camera_object_detection: Realtime mobile visualize based Object Detection based on TensorFlow and YOLO model
tensorflow/tensorflow/contrib/learn/python/learn/datasets/mnist.py at be1a443958a2ba205cd0b7b22529e6fbc0b229aa · tensorflow/tensorflow
GitHub - explosion/thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
